Applied AI Engineer - Hybrid

Welcome to the intersection of energy and home services. At NRG, we're all about propelling the next generation of leaders forward. We are driven by our passion to create a smarter, cleaner and more connected future. We deliver innovative solutions that make our customers' lives easier-helping them power, protect, and intelligently manage their homes and businesses. To do this, we need creative and talented people to join our company.

We offer a dynamic work environment and a unified and inclusive culture. NRG fosters a strong sense of belonging that leads to better collaboration and business performance. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society.

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Job Summary

We areseekinga highly skilledApplied AI Engineerto join our Data & AI team as a full-time employee. This role is ideal for an engineer with deepexpertisein Generative AI (GenAI) technologies and a proventrack recordof delivering production-grade AI solutions. The Applied AI Engineer will design, build, and scale GenAI applications, while also contributing to enterprise standards, reusable frameworks, and the overall maturity of our AI engineering practices.

This position requires someone who can balancehands-on solution deliverywithtechnical leadership in design, integration, and optimization, ensuring our AI initiatives deliver measurable business impact.

Key Responsibilities:

• Solution Engineering & Delivery
  • Translate business requirements intorobust, scalable AI solutionsusing RAG, embeddings, vector search, and fine-tuning.
  • Design, prototype, and implementLLM-driven applicationswith multi-step agent workflows and orchestration frameworks (e.g.,LangGraph,LangChain,LlamaIndex).
  • Build andmaintainAPIs, services, and reusable componentsin Python to support AI applications.
  • Deploy andmonitorAI models incloud-native environments(GCP, Azure)leveragingKubernetes, serverless, andMLOpspipelines.
  • Continuously evaluate model/system performance and implement improvements.
• Architecture & Standards
  • Contribute to thedesign of modular and reusable AI architecturesacross projects.
  • Establish and followengineering best practicesfor GenAI development, testing, deployment, and monitoring.
  • Support the creation ofdocumentation, templates, and playbooksfor consistent solution delivery.
• Collaboration & Integration
  • Partner with cross-functional teams tointegrate AI capabilities into enterprise applications.
  • Work closely with business stakeholders totranslate challenges into AI-powered solutions.
  • Share lessons learned and help drive adoption of AI practices across teams.
  • Ensure AI applications align withsecurity, compliance, and responsible AI standards.

Working Conditions

• Hybrid work model: Onsite in the Houston office 4 days per week.
• Open, collaborative team environment.

Minimum Requirements:

• Bachelor's orMaster's degree in Computer Science, AI/ML, or related technical field.
• 5+ years of software development experience, with strongproficiencyin Python.
• 3-5+ years hands-on experience building GenAI/LLM-based applications, with proven success from PoC to production deployment.
• Proficiencyin designingretrieval pipelines(document loaders, chunking strategies, embeddings, vector databases like FAISS, Pinecone,ChromaDB).
• ExpertiseinLLM APIs(OpenAI, Claude, Gemini, etc.), prompt engineering, and fine-tuning.
• Experience withcloud platforms(GCP, Azure),containerization(Docker, Kubernetes), andMLOps(CI/CD, monitoring).
• Strong understanding ofAPI design, microservices, and enterprise integration patterns.
• Familiarity with version control systems (e.g., Git, Azure DevOps).
• Demonstrated ability to build and scale AI solutions in production.

Preferred Qualifications:

• Experience withorchestration frameworks(LangGraph,LangChain,LlamaIndex).
• Familiarity withDevOps practicessuch asIaC(Terraform), YAML pipelines, and automation.
• Strong communicationskills withabilitytocollaborate across teamsand articulate technical concepts clearly.
• Proactive, self-motivated problem solver witha track recordof delivering high-value solutions.
• Leveragevibe and agenticcoding tools such as Cursor, Claude Code, and similar frameworks to accelerate AI solution development andorchestrate multi-agent workflows.

Additional Attributes:

• Analytical mindset with focus onmeasurable outcomes.
• Collaborative team player who thrives in cross-functional environments.
• Curiosity and drive to stay current withemerging GenAI technologies.

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

EEO is the Law Poster (The poster can be found at http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf)

Official description on file with Talent.